• 学术动态

9月22日柳成飞学术报告预告
作者:cwj 发布日期:2016-09-14 浏览次数:

报告题目:Keyword Search over Structured Data

报告地点:郁文楼A102

报告时间:922日下午230

人:柳成飞

摘要:

 Keyword search is integrated in many applications on account of the convenience to convey users' query intention. Recently, answering keyword queries on structured data has drawn great deal of attention from the web and database communities, because the success of this research will relieve users from learning complex query languages, and/or knowing the underlying schema of the structured data. As a result, information in the data can be discovered much easier. In this talk, I will present the work done at Swinburne on keyword and keyword based search over both tree and graph structured data.

 

个人简介:

Chengfei Liu is a Professor in the Department of Computer Science and Software Engineering, Swinburne University of Technology, Melbourne, Australia. He is the leader of Web and Data Engineering research group and the focus area leader of Knowledge and Data Intensive Systems in the Swinburne University tier-1 Centre for Computing and Engineering Software Systems (SUCCESS). Prior to joining Swinburne, he taught at the University of South Australia and the University of Technology Sydney, and was a Research Scientist at Cooperative Research Centre for Distributed Systems Technology (DSTC) located in the University of Queensland, Australia. He also held visiting professors at the Chinese University of Hong Kong, the University of Aizu in Japan, and visiting scientist at IBM Silicon Valley Lab in USA. His current research interests include keyword search over structured data, query processing and refinement, XML and RDF databases, graph data management, community discovery, big data management, and workflow management. He has published over 200 peer-reviewed papers in various prestigious journals and conference proceedings and has served in over 100 organization committees and program committees in international conferences/workshops. He was the recipient of the 2007 Vice-Chancellor's Award for Research Excellence at Swinburne.